Explain Yourself: A Semantic Annotation Framework to Facilitate Tagging of Semantic Information in Health Smart Homes

Bastian Wollschlaeger, Elke Eichenberg, Klaus Kabitzsch

Abstract

Health Smart Homes (HSH) are a key concept in future personalized health care. However, with an abundance of heterogeneous assistance components available, the design process of HSHs is becoming increasingly complex and needs to rely on computer-based support. As a key prerequisite, formal models of information semantics are required for component selection and early-on interoperability assessment. This paper proposes a flexible and extensible framework of semantic annotations that copes with the interdisciplinary nature of HSH and can be used to incorporate a formal model of semantics at component interfaces. The framework consists of a taxonomy of semantic annotations (tags) and their relationships and is developed using a well-established taxonomy creation method. The tags address several independent aspects of semantics, increasing the expressiveness of information semantics. With this valuable new level of detail for information, component models can be semantically enriched, in turn enabling computer-based design algorithms to carry out the complex design tasks in the future.

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Paper Citation


in Harvard Style

Wollschlaeger B., Eichenberg E. and Kabitzsch K. (2020). Explain Yourself: A Semantic Annotation Framework to Facilitate Tagging of Semantic Information in Health Smart Homes.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 133-144. DOI: 10.5220/0008968901330144


in Bibtex Style

@conference{healthinf20,
author={Bastian Wollschlaeger and Elke Eichenberg and Klaus Kabitzsch},
title={Explain Yourself: A Semantic Annotation Framework to Facilitate Tagging of Semantic Information in Health Smart Homes},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2020},
pages={133-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008968901330144},
isbn={978-989-758-398-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Explain Yourself: A Semantic Annotation Framework to Facilitate Tagging of Semantic Information in Health Smart Homes
SN - 978-989-758-398-8
AU - Wollschlaeger B.
AU - Eichenberg E.
AU - Kabitzsch K.
PY - 2020
SP - 133
EP - 144
DO - 10.5220/0008968901330144